Patrick Debois is a versatile technologist with a breadth of experience across Dev, Sec, and Ops. Known for his aptitude in harnessing emerging ideas , he skillfully guides teams and advises businesses ranging from startups to enterprises in their journey. Recognized as a trusted ally among dev, sec, ops communities, and beyond, he is currently immersing himself in the world of genAI continuously pushing the boundaries of his technical expertise.
While Patrick’s technical appetite is vast, his affinity for people is equally profound. He possesses the rare ability to bridge perspectives, effortlessly switching between management and individual contributor levels and roles. This unique experience has led him organizing the first Devopsdays in 2009. He is attributed to coining the term DevOps and co-author of the widely known Devops Handbook. In the past Patrick has worked together with renowned tech organizations such as Atlassian and Snyk.
He thrives in sharing knowledge, organizing numerous community events, and presenting at many more. He believes in transforming his learnings into shareable lessons, using this feedback loop to hone his skills and broaden his perspectives. Through open sharing and lateral thinking, Patrick is not just enhancing his professional growth but also contributing significantly to the evolution of the field.
You can enjoy his past talks on his youtube channel https://www.youtube.com/@jedi4ever/videos. Or follow the firehose of learnings he shares on Twitter https://twitter.com/patrickdebois
AI engineers are great, but to scale it out to the organisation you need an AI Platform team.
Similar to introducing Agile and DevOps companies have pilot projects to release their first genAI features. They would bring in people that have an affinity for both AI and applications together to form the first change agent in a company. Once you have a few teams, you notice that there is shared AI infrastructure, you need enablement and governance across. This pattern has been used to introduce Cloud, Security and Developer Experience.
In this talk we highlight:
- the shared components of the AI stack: proxies, caching, testing, feedback collection, guardrails, ...
- the steps (and struggles) to enable this across the whole engineering (hackathons, training, abstractions)
- how it fits in the existing SDLC workflow and processes (testing , versioning, observability , security)
- how we can leverage the knowledge of all platform teams together (cloudops, secops , developer experience , data platform and ai platform) for dealing with security , permissions and performance"
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